Praise for the First Edition" This pioneering work, in which Rao provides a comprehensive
and up-to-date treatment of small area estimation, will become a classic... I believe that it has …

The small area estimation (SAE) theory is widely used when local or domain-specific
reliable estimates based on survey data are needed. Small area model-based estimates use …

Socioeconomic indicators play a crucial role in monitoring political actions over time and
across regions. Income-based indicators such as the median income of sub-populations can …

While statistical information on socio-economic activities is widely available, the data are
often collected or released only at a relatively aggregated level. In these aggregated forms …

Modern systems of official statistics require the estimation and publication of business
statistics for disaggregated domains, for example, industry domains and geographical …

Spatial regression models, used to model spatial relationships, have received considerable
attention in recent years since numerous data sets have been collected with geographical …

The effective use of spatial information in a regression‐based approach to small area
estimation is an important practical issue. One approach to account for geographic …

Small area estimation is gaining increasing popularity among survey statisticians. Since the
direct estimates of small areas usually have large standard errors, model-based approaches …

The demand for reliable small area statistics from sample surveys has grown substantially
over the past decades due to their growing use in public and private sectors. The field of …

We propose a Small Area Estimation model based on Generalized Additive Models for
Location, Scale and Shape (SAE-GAMLSS), for the estimation of household economic …